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Applying simulation to process analysis and design, set point optimization and training

Posted on:1990-11-20Degree:Ph.DType:Thesis
University:University of IdahoCandidate:Haynes, James BessentFull Text:PDF
GTID:2471390017954168Subject:Engineering
Abstract/Summary:
Computer based process models in modular form have been available in the pulp and paper industry for nearly 20 years. During this time, such process models have found applications in process design, optimization, control system design and other areas. In this work the author extends the previous work into new and more complex application areas, kraft recovery boilers and complete chemi-thermo mechanical pulping (CTMP) systems. The author also expands the use of GEMS simulation models for use as process trainers and this has succeeded in bringing process models nearer to the process itself.; The thesis is centered around five manuscripts dealing with the areas of design, supervisory control, training and optimization. Simulation is used in all areas of this study, either alone or with other tools. Training requires the coupling of simulation with Distributed Control Systems (DCS). The interface procedure demonstrates not only that GEMS models can be used as trainer simulations, but also how to communicate from the PC to DCS networks.; Design optimization utilizes sequential linear programming coupled with simulation. Supervisory control (i.e. set point optimization) also integrates the use of simulation and optimization.
Keywords/Search Tags:Process, Simulation, Optimization
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